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» Forward Analysis of Depth-Bounded Processes
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COLT
2006
Springer
13 years 11 months ago
A Randomized Online Learning Algorithm for Better Variance Control
We propose a sequential randomized algorithm, which at each step concentrates on functions having both low risk and low variance with respect to the previous step prediction functi...
Jean-Yves Audibert
NIPS
1998
13 years 8 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
ICNP
2003
IEEE
14 years 21 days ago
Matchmaker: Signaling for Dynamic Publish/Subscribe Applications
The publish/subscribe (pub/sub) paradigm provides content-oriented data dissemination in which communication channels are established between content publishers and content subscr...
Zihui Ge, Ping Ji, James F. Kurose, Donald F. Tows...
GLOBECOM
2008
IEEE
14 years 1 months ago
Investigating the Performance Impact of Shared Host Capacity in Ad Hoc Networks
— Host resources (e.g., CPU time and buffer space) in mobile ad hoc networks must be shared between the devices own applications and networking functions, such as routing and pac...
Yan He, Ikhlas Ajbar, Van Nguyen, Dmitri Perkins
ICPR
2008
IEEE
14 years 1 months ago
Back to the future: Robust foreground extraction with reversed-time background modeling
“Ghosts” arise in traditional background subtraction when an object starts to move, causing the exposed background to be labelled as a ghost foreground. With background model ...
Akhilesh Kumar Sinha, Prithwijit Guha, Amitabha Mu...